Reynolds Sheila M, Miller Michael, Lee Phyliss, Leinonen Kalle, Paquette Suzanne M, Rodebaugh Zack, Hahn Abigail, Gibbs David L, Slagel Joseph, Longabaugh William J, Dhankani Varsha, Reyes Madelyn, Pihl Todd, Backus Mark, Bookman Matthew, Deflaux Nicole, Bingham Jonathan, Pot David, Shmulevich Ilya
Institute for Systems Biology, Seattle, Washington.
CSRA Inc., Falls Church, Virginia.
Cancer Res. 2017 Nov 1;77(21):e7-e10. doi: 10.1158/0008-5472.CAN-17-0617.
The ISB Cancer Genomics Cloud (ISB-CGC) is one of three pilot projects funded by the National Cancer Institute to explore new approaches to computing on large cancer datasets in a cloud environment. With a focus on Data as a Service, the ISB-CGC offers multiple avenues for accessing and analyzing The Cancer Genome Atlas, TARGET, and other important references such as GENCODE and COSMIC using the Google Cloud Platform. The open approach allows researchers to choose approaches best suited to the task at hand: from analyzing terabytes of data using complex workflows to developing new analysis methods in common languages such as Python, R, and SQL; to using an interactive web application to create synthetic patient cohorts and to explore the wealth of available genomic data. Links to resources and documentation can be found at www.isb-cgc.org .
ISB癌症基因组学云（ISB-CGC）是美国国立癌症研究所资助的三个试点项目之一，旨在探索在云环境中对大型癌症数据集进行计算的新方法。ISB-CGC以数据即服务为重点，提供了多种途径，可使用谷歌云平台访问和分析癌症基因组图谱（The Cancer Genome Atlas）、TARGET以及其他重要参考数据，如GENCODE和COSMIC。这种开放的方法使研究人员能够选择最适合手头任务的方法：从使用复杂工作流程分析数TB数据，到用Python、R和SQL等通用语言开发新的分析方法；再到使用交互式网络应用程序创建合成患者队列并探索丰富的可用基因组数据。资源和文档链接可在www.isb-cgc.org上找到。
